{"data":{"slug":"kubeflow-kubeflow","name":"kubeflow","tagline":"Machine Learning Toolkit for Kubernetes","github_url":"https://github.com/kubeflow/kubeflow","owner":"kubeflow","repo":"kubeflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/33164907?v=4","primary_language":null,"stars":15881,"forks":2699,"topics":["google-kubernetes-engine","jupyter","kubeflow","kubernetes","machine-learning","minikube","ml","notebook","tensorflow"],"archived":false,"github_pushed_at":"2026-08-21T18:25:34+00:00","maintenance_label":"Steady","stars_delta_30d":76,"url":"https://www.graphcanon.com/tools/kubeflow-kubeflow","markdown_url":"https://www.graphcanon.com/tools/kubeflow-kubeflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kubeflow-kubeflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kubeflow-kubeflow","description":"Machine Learning Toolkit for Kubernetes","homepage_url":"https://www.kubeflow.org/","license":"Apache-2.0","open_issues":1,"watchers":368,"ai_summary":"Kubeflow is an AI platform toolkit built on Kubernetes to facilitate various stages of the machine-learning lifecycle.","readme_excerpt":"# Kubeflow\n\n\n\n<img src=\"./logo/stacked.svg\" width=\"120\">\n\n## What is Kubeflow\n\n[Kubeflow](https://www.kubeflow.org/) is the foundation of tools for AI Platforms on Kubernetes.\n\nAI platform teams can build on top of Kubeflow by using each subproject independently or deploying\nthe entire Kubeflow Community Distribution to meet their specific needs.\nThe Kubeflow Community Distribution is composable, modular, portable, and scalable, backed by an\necosystem of Kubernetes-native projects that cover every stage of\n[the AI lifecycle](https://www.kubeflow.org/docs/started/architecture/#kubeflow-landscape-in-the-ai-lifecycle).\n\nWhether you’re an AI practitioner, a platform administrator, or a team of developers,\nKubeflow offers modular, scalable, and extensible tools to support your AI use cases.\n\nKubeflow consists of Kubeflow Subprojects, Kubeflow Ecosystem, Kubeflow Packaged Distribution,\nand Kubeflow Community Distribution.\n\nCheck out [the official documentation](https://www.kubeflow.org/docs/started/introduction/) for\nmore detailed information.\n\n## Repository Role\n\nThis repository serves primarily as a gateway to Kubeflow subprojects and shared project metadata.\nKubeflow development happens in the individual subproject repositories.\n\n## Kubeflow Community\n\nKubeflow is a community-led project maintained by the\n[Kubeflow Working Groups](https://www.kubeflow.org/docs/about/governance/#5-working-groups)\nunder the guidance of the\n[Kubeflow Outreach Committee](https://www.kubeflow.org/docs/about/governance/#3-kubeflow-outreach-committee),\n[Kubeflow Distribution Committee](https://www.kubeflow.org/docs/about/governance/#4-kubeflow-distribution-committee),\nand [Kubeflow Steering Committee](https://www.kubeflow.org/docs/about/governance/#2-kubeflow-steering-committee).\n\nWe encourage you to learn about the [Kubeflow Community](https://www.kubeflow.org/docs/about/community/)\nand how to [contribute](https://www.kubeflow.org/docs/about/contributing/) to the project!","github_created_at":"2017-11-30T18:44:19+00:00","created_at":"2026-07-11T23:28:52.477613+00:00","updated_at":"2026-09-28T06:00:55.866664+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"model-training","name":"Model 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familiarity with Kubernetes and its ecosystem.","Primarily licensed under Apache-2.0."],"min_ram_gb":null,"requires_docker":true},"constraints":{"min_ram_gb":null,"requires_docker":true},"when_to_use":["When you are working on a Kubernetes-based platform and aim to streamline the process of deploying, scaling, and managing machine-learning workloads.","For projects where reusability and modularity across different subprojects is key, allowing custom configurations according to specific needs without being locked into one rigid architecture."],"when_not_to_use":["If your organization does not use or plan to leverage Kubernetes infrastructure in its operations as Kubeflow tightly integrates with it.","When you seek a low-code solution for machine learning or have minimal Kubernetes expertise, as Kubeflow requires advanced Kubernetes skills and management capability."],"source":"enrich:decision_facts","observed_at":"2026-07-16T20:29:52.095Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":true},"decision_summary":[{"label":"Requirements","value":"Requires Docker; Requires familiarity with Kubernetes and its ecosystem.; Primarily licensed under Apache-2.0."},{"label":"Adopt for","value":"Kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components."}]}}